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In office (Wuxi)
Seniority
Intern
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Internship

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 13, 2026.

Overview
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With operational headquarters in Fremont, California, and legal domicile in Dublin, Ireland, Seagate Technology is a leading global data storage company specializing in hard disk drives (HDDs), solid-state drives (SSDs), and high-capacity mass-storage systems. Founded in 1978, the company designs, develops, and manufactures infrastructure solutions that enable enterprises, cloud data centers, and consumer markets to store, manage, and protect massive volumes of data. Serving clients worldwide across diverse industries, it provides advanced storage technologies tailored for artificial intelligence, machine learning, cloud computing, and high-performance computing environments.

About our group:

The Intelligent Engineering & Enterprise Systems (IEES) organization provides and supports the digital platforms that enable Seagate's global engineering teams to develop industry-leading storage products.

Our team manages Product Lifecycle Management (PLM), Engineering Knowledge Management, JIRA Agile Development Platforms, Technology and Portfolio Management System, Environmental Compliance System, and other critical engineering applications used worldwide. These platforms are tightly integrated with Seagate's ERP, Manufacturing Systems, Supply Chain, and Data Warehouse environments.

As part of Seagate's AI Transformation initiative, IEES is building next-generation AI-enabled solutions that transform engineering data embedded in different engineering systems into accessible knowledge and actionable intelligence to accelerate product innovation and engineering productivity.

This is a global team that collaborates closely with colleagues in the United States, Singapore, India, and China.

About the role - you will:

  • Generative AI and Large Language Model (LLM) applications
  • Retrieval-Augmented Generation (RAG) solutions
  • AI Assistants and Engineering Copilots
  • Model Context Protocol (MCP) integrations
  • AI Agent and workflow automation solutions
  • Enterprise engineering knowledge management

Your responsibilities may include:

  • Design, develop, and evaluate AI-powered prototypes and proof-of-concept solutions.
  • Build integrations between AI applications and enterprise engineering platforms, such as Windchill PLM, JIRA, TPM, and other business systems.
  • Develop AI orchestration workflows that leverage multiple engineering systems and data sources to automate and streamline complex business processes.
  • Assist with data preparation, system integration, validation, and end-to-end testing of AI solutions.
  • Collaborate with IT leads, architects, and business stakeholders to understand requirements and translate them into practical AI-enabled solutions.
  • Document designs, implementation approaches, test results, and lessons learned to support solution adoption and continuous improvement.

About you:

  • Passionate about learning new technologies
  • Curious about Artificial Intelligence and software engineering
  • Strong problem solvers with analytical thinking skills
  • Self-motivated and eager to experiment with innovative ideas
  • Comfortable working in a collaborative global team environment
  • Able to communicate effectively and learn quickly

Your experience includes:

  • Senior undergraduate, Master's, or PhD student
  • Major in Computer Science, Artificial Intelligence, Software Engineering, Automation, Electrical Engineering, Robotics, Data Science, or related disciplines
  • Programming experience in Python, Java, JavaScript, C/C++, C#, or related technologies
  • Understanding of software development fundamentals and data structures
  • Ability to read and communicate in English in a global work environment

Experience or coursework in one or more of the following areas:

  • Generative AI
  • Large Language Models (LLMs)
  • Machine Learning
  • Retrieval-Augmented Generation (RAG)
  • AI Agents
  • Model Context Protocol (MCP)
  • GitHub Copilot
  • LangChain or LlamaIndex
  • REST APIs
  • Cloud Platforms (AWS, Azure, GCP)
  • Full-Stack Development
  • Data Analytics

Location:

Located in the high technology district, our site in Wuxi is a global manufacturing hub delivering technical services, customer testing, manufacturing, and support capabilities. On-site you can grab breakfast, lunch, dinner, and snacks at our canteen, grab-and-go market, and coffee shop. We offer basketball, badminton, yoga clubs, and group exercise classes. We also have music, dance, photography, and literature clubs galore, along with an active Toastmasters International chapter, and frequently have on-site festivals, celebrations, and community volunteer opportunities.

Location: Wuxi, China

Travel: None

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